Publications

Found 17 results
Author Title Type [ Year(Desc)]
Filters: Author is Dan Klein  [Clear All Filters]
2006
Petrov, S., Faria A., Michaillat P., Berg A., Stolcke A., Klein D., et al. (2006).  Detecting Categories in News Video Using Acoustic, Speech, and Image Features.
Petrov, S., Barrett L., Thibaux R., & Klein D. (2006).  Learning Accurate, Compact, and Interpretable Tree Annotation. Proceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL).
Petrov, S., Barrett L., & Klein D. (2006).  Non-Local Modeling with a Mixture of PCFGs. Proceedings of the 10th International Conference on Conference of Computational Natural Language Learning (CoNLL-X '06). 14-20.
2008
Favre, B., Hakkani-Tür D., Petrov S., & Klein D. (2008).  Efficient Sentence Segmentation Using Syntactic Features. 77-80.
DeNero, J., Bouchard-Côté A.., & Klein D. (2008).  Sampling Alignment Structure Under a Bayesian Translation Model. 314-323.
2009
DeNero, J., Pauls A., & Klein D. (2009).  Asynchronous Binarization for Synchronous Grammars.
Haghighi, A.., Blitzer J.., DeNero J., & Klein D. (2009).  Better Word Alignments with Supervised ITG Models.
Pauls, A., DeNero J., & Klein D. (2009).  Consensus Training for Consensus Decoding in Machine Translation. 1418-1427.
DeNero, J., Bansal M., Pauls A., & Klein D. (2009).  Efficient Parsing for Transducer Grammars. 227-235.
2010
Bansal, M., & Klein D. (2010).  Simple, Accurate Parsing with an All-Fragments Grammar. 1098-1107.
2011
Bansal, M., & Klein D. (2011).  The Surprising Variance in Shortest-Derivation Parsing.
Bansal, M., & Klein D. (2011).  Web-Scale Features for Full-Scale Parsing. 693-702.
2012
Bansal, M., & Klein D. (2012).  Coreference Semantics from Web Features.
2013
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
2016
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Neural Module Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 39-48.